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Updated: Jan 20, 2026

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TwinBLAST: When Two Is Better than One.

Julie C Dunning Hotopp1,2,3, James Matsumura4, Robin E Bromley4

  • 1Institute for Genome Sciences, University of Maryland School of Medicine, Baltimore, Maryland, USA jdhotopp@som.umaryland.edu.

Microbiology Resource Announcements
|August 31, 2019
PubMed
Summary
This summary is machine-generated.

Analyzing sequence read pairs helps identify structural variations and horizontal gene transfer. TwinBLAST aids this by visualizing and curating two BLAST reports simultaneously for junction-spanning read pairs (JSPRs).

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Area of Science:

  • Genomics
  • Bioinformatics
  • Molecular Biology

Background:

  • Characterizing structural variation in DNA sequences is crucial for understanding genome evolution.
  • Identifying recent lateral/horizontal gene transfer events requires precise analysis of sequence read data.
  • Junction-spanning pairs of reads (JSPRs) are key indicators of such genetic exchanges.

Purpose of the Study:

  • To introduce TwinBLAST as a tool for analyzing junction-spanning pairs of reads (JSPRs).
  • To facilitate the characterization of structural variation and horizontal gene transfer using JSPRs.
  • To provide a streamlined method for visualizing and curating BLAST reports for JSPR analysis.

Main Methods:

  • Utilizing sequence read pair analysis.
  • Employing the TwinBLAST software for comparative analysis.
  • Visualizing and curating two BLAST reports side-by-side within a unified interface.

Main Results:

  • TwinBLAST enables efficient identification and analysis of JSPRs.
  • The tool simplifies the process of characterizing structural variations.
  • Facilitates the detection of potential horizontal gene transfer events.

Conclusions:

  • TwinBLAST is an effective tool for analyzing JSPRs.
  • The software enhances the study of structural variation and horizontal gene transfer.
  • Streamlined visualization and curation improve the analysis workflow.